Neural networks have been applied increasingly in recent years in a number of fields, from finance to medicine. The drinking water industry has also witnessed its share of developments in this area, with computing models being created for various aspects of the water management process. This paper presents an introduction to neural computing theory, as well as the potential for applications in the drinking water field. Two examples of back-propagation neural networks are discussed. The first simulates required daily post-chlorination dosage; the other forecasts, at one or more steps in the future, the residual disinfectant resulting from chlorine dosage. The results suggest promising possibilities for the application of neural networks in the water treatment process, as well as in the control of water quality in distribution systems.
| File Size : | 1
file |
| ISBN(s) : | 0898677343 |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 16 |
| Published : | 01/01/1994 |
